Spanly vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionSpanlySpider Cloud
PricingFree tier (up to 1M req/mo); Paid plans start at $20/mo for 10M req/mo with 30d retention; Business plan custom pricing with 90d retention, 100 alerts, SSO, audit log.Free tier (1,000 pages/mo); Pay-as-you-go: $0.003/1k pages after free quota; AI Studio add-on $6/mo; No fixed monthly plans for unlimited usage.
Target Use CaseMCP server observability: real-time tracing, error tracking, performance metrics for Model Context Protocol servers.Web data extraction for AI agents: crawling, scraping, structured output, and search API.
IntegrationsDatadog, Sentry, New Relic, OpenTelemetry, Slack, PagerDuty, GitHubLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, Google Cloud Storage, Amazon S3, Supabase
Data Retention30 days (free/paid), 90 days (Business), 365 days (Enterprise) - with multi-region US/EUNot specified; pay-as-you-go model likely retains data per request lifetime.
Open SourceSDK and CLI open source under Apache 2.0Core engine open source on GitHub
Best ForEngineering teams running MCP servers in production who need real-time traceability and alerting.Developers building AI agents or RAG pipelines that require real-time web data at scale.

Choose Spanly if you need dedicated observability for MCP servers in production—its real-time tracing, payload capture, and integrated alerting fill a gap APMs can't cover. Choose Spider Cloud if your AI agent requires fast, cost-effective web data extraction with structured output; its pay-as-you-go model and Rust engine make it ideal for high-volume scraping. Both are complementary, not directly competitive.

Try SpanlyTry Spider Cloud
Spanly
Spanly

MCP server observability: traces, security scans, and auto-fix patches

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Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

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Pricing
Freemium
Freemium
Plans
$0/mo
$82.50/mo (billed annually at $990)
$415.83/mo (billed annually at $4,990)
Custom
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
0 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLIAPI
WebAPICLI
Categories
🔌 MCP Servers & Agent Tooling📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Real-time MCP request tracing with full JSON-RPC payload capture
Per-server, per-client, per-tool performance metrics (P50/P95/P99)
Security scanners for prompt injection, tool poisoning, secrets, and schema issues
Automated patch workflow: canary, A/B test, then apply fixes to live traffic
Health monitors that check server uptime and alert on downtime
Error tracking with stack traces and AI-generated fault write-ups
Drift detection that identifies degraded tools over time
Client conformance monitoring (Claude Code, Cursor, Codex, etc.)
Data residency in US and EU regions, selectable per project
OpenTelemetry ingestion and export for MCP spans
Public dashboards with read-only share links
Alert rules with Slack, email, webhook, and in-app notifications
MCP Gateway on your own domain (Business)
SAML/OIDC single sign-on (Business)
Audit log (Business)
Scrape any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
Datadog
Sentry
New Relic
OpenTelemetry
Slack
PagerDuty
GitHub
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Spanly vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Spanly

25 mentions across 4 sources · 38% positive — critical

Hacker News, YouTube, Product Hunt, Bluesky

What users praise

  • • MCP-native observability fills a real gap that APMs miss.
  • • Installs in under 5 minutes with no code changes.
  • • Captures full JSON-RPC payloads (tool calls, prompts, resources).
  • • Per-tool performance metrics (P50/P95/P99) are actionable.

What frustrates them

  • • Very limited community feedback — risky for production decisions.
  • • No independent reviews or case studies available yet.
  • • Solo-founder project raises continuity concerns for enterprises.
  • • Pricing for high-volume MCP calls could become expensive.

Researched Jul 23, 2026

Spider Cloud

41 mentions across 2 sources · 0% positive — critical

YouTube, Lemmy

What users praise

  • • Competitive pay-as-you-go pricing at $1/GB with no expiry.
  • • Default rate limit of 10,000 requests per minute is generous.
  • • Broad output formats (HTML, markdown, JSON, CSV) cover diverse needs.
  • • Integrated Web Search API bundles SERP and extraction for AI agents.

What frustrates them

  • • No community feedback to confirm reliability or performance.
  • • Self-reported metrics lack independent verification.
  • • Stealth browser success may vary across real sites.
  • • Potential legal risks from scraping; compliance is user's responsibility.

Researched Aug 26, 2026

Who should pick which

  • MCP Server Operator
    Pick: Spanly

    Spanly provides MCP-native observability with real-time tracing, error tracking, and performance metrics, which is essential for debugging and monitoring MCP servers in production.

  • AI Agent Developer
    Pick: Spider Cloud

    Spider Cloud offers a fast, reliable web data extraction API with structured output and integrations with LangChain/LlamaIndex, perfect for feeding real-time web data to AI agents.

  • Platform Engineer at a B2B SaaS
    Pick: Spanly

    If your SaaS integrates MCP, Spanly's audit logs, SSO, and data residency features help meet compliance and debugging needs.

  • RAG Pipeline Builder
    Pick: Spider Cloud

    Spider Cloud's low-cost, high-volume crawling and structured output make it ideal for keeping RAG indexes up-to-date with fresh web content.

  • Security-Conscious Team
    Pick: Spanly

    Spanly redacts headers in payload capture and supports EU/US data residency, with audit logs for MCP access monitoring (relevant against agentjacking attacks as per recent news).

Frequently Asked Questions

Spanly vs Spider Cloud: which should you choose?

Choose Spanly if you need dedicated observability for MCP servers in production—its real-time tracing, payload capture, and integrated alerting fill a gap APMs can't cover. Choose Spider Cloud if your AI agent requires fast, cost-effective web data extraction with structured output; its pay-as-you-go model and Rust engine make it ideal for high-volume scraping. Both are complementary, not directly competitive.

Can Spanly alert on anomalies in MCP tool calls?

Yes, Spanly's Business plan supports up to 100 alert rules that can be routed to Slack or PagerDuty based on custom conditions like error rates or latency thresholds.

Does Spider Cloud support crawling JavaScript-heavy sites?

Yes, Spider Cloud includes a Browser Cloud with stealth anti-detection and Browser AI commands (Act, Extract, Observe) via WebSocket, which can handle dynamic content and interact with pages.

How does Spanly compare to OpenTelemetry tracing for MCP?

Recent news (2026-06-11) explains that MCP OpenTelemetry tracing (per SEP-414) captures spans, while Spanly provides packet-level MCP observability with full payload capture. Spanly also integrates with OpenTelemetry via traceparent propagation.

Is Spider Cloud's open-source core fully self-hostable?

Yes, the core engine is available on GitHub, allowing self-hosting. However, the AI Studio and Browser Cloud features may require the cloud service.

What data retention options does Spanly offer?

Free and paid plans include 30-day retention; Business plan offers 90-day; Enterprise offers 365-day. Data can be stored in US or EU regions.

Can I use Spider Cloud with LangChain?

Yes, Spider Cloud has a LangChain integration documented, making it straightforward to use in LangChain-based agent pipelines.

Does Spanly capture errors with stack traces?

Yes, Spanly captures errors with full stack traces and the request context that led to the error.

Does Spider Cloud bill for failed requests?

No, failed requests are not billed. You only pay for successfully processed pages.

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Explore each tool further

Spanly
View Spanly reviewSpanly alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI MCP Servers & Agent Tooling toolsBest AI Web Scraping & Search APIs toolsBest AI LLM Observability & Evals toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 2, 2026